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Data Scientist III (Machine Learning)

Job Title: Research Scientist IIIContract: 3 Months (Possibly Extension)Compensation: This position is offering a hourly rate range from $55 - $57 an hour ; No BenefitsLocation: Thornton, COZip Code: 80241Belcan is a leading provider of professional IT, Engineering, Workforce Solutions and staffing in the United States, Canada, UK, Europe, and India.A Research Scientist III Job in Thornton, CO is currently available through Belcan. In this role your responsibilities will include developing, prototyping and producing innovative models using a range of techniques (Supervised/Unsupervised/Reinforcement). If you are interested in this role, Apply Today!Job Description:We"re seeking a Data Scientist with expertise in a breadth of ML techniques. Your responsibilities will include developing, prototyping and producing innovative models using a range of techniques (Supervised/Unsupervised/Reinforcement). We are also looking for innovators capable of using generative AI to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.- Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building using industry standard AI/ML models and working with Large Language Models- Proficiency in both Supervised(Linear/Logistic Regression) and Unsupervised algorithms(k means clustering)- Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management.- Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area- Innovate by adapting new modeling techniques and procedures- Passionate about working with huge data sets ( training/fine tuning) and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets- Exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault tolerant, self-healing and adaptive.- Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers

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What You Should Know About Data Scientist III (Machine Learning), Belcan

Are you ready to take your data expertise to the next level? Join Belcan as a Data Scientist III (Machine Learning) in beautiful Thornton, CO! This is an exciting opportunity to work with cutting-edge technology while pushing the boundaries of innovation. As a Data Scientist III, you'll dive deep into the world of machine learning, developing and prototyping unique models that harness both supervised and unsupervised techniques. Whether you're utilizing linear regression or aggressive clustering methods, your role is pivotal in crafting solutions that tackle never-before-solved problems. We're on the lookout for creative thinkers who can leverage generative AI to transform analytics into actionable insights. Your other tasks will include collaborating closely with internal teams to align on goals and requirements and to deliver impactful solutions. In this role, your passion for working with massive datasets will shine as you develop and manage analytical frameworks that not only drive significant business outcomes but also educate marketing efforts. Have expertise in operating stable data flow solutions? Great! You'll be implementing fault-tolerant systems that are scalable and adaptive. If you're enthusiastic about mingling with large data volumes and enjoy crafting answers from them, we want to hear from you. Apply now and begin your journey with Belcan—where innovation meets execution!

Frequently Asked Questions (FAQs) for Data Scientist III (Machine Learning) Role at Belcan
What are the key responsibilities of a Data Scientist III at Belcan?

As a Data Scientist III at Belcan, you'll be responsible for developing and prototyping innovative machine learning models using supervised and unsupervised techniques. You'll engage deeply with data feature engineering, exploratory data analysis, and model building. Additionally, you will work closely with various internal teams to align on innovative data solutions that impact the business positively.

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What qualifications are needed to apply for the Data Scientist III position at Belcan?

To be considered for the Data Scientist III role at Belcan, candidates typically need a strong background in machine learning techniques, particularly with supervised and unsupervised algorithms. Expertise in handling large datasets and implementing reliable data flow solutions is crucial. Proficiency in using industry-standard AI/ML models and a passion for problem-solving through data analytics are also key qualifications.

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What kind of work environment can I expect as a Data Scientist III at Belcan?

Working as a Data Scientist III at Belcan means being part of a collaborative and innovative environment. You will be collaborating with various teams in a dynamic setting, focusing on aligning data-driven solutions with business objectives. The Thornton location offers a creative workspace where your analytical abilities can thrive while working with cutting-edge technology.

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What opportunities for growth can I expect as a Data Scientist III with Belcan?

Belcan actively promotes professional development and growth among its employees. As a Data Scientist III, you will have access to advanced learning resources, mentoring from seasoned professionals, and opportunities to lead innovative projects. Your role will also evolve with technology advancements, allowing you to stay ahead in the field of data science.

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How does Belcan incorporate new technologies in the Data Scientist III position?

At Belcan, new technologies are central to our mission. As a Data Scientist III, you will have the opportunity to work with generative AI and other advanced machine learning techniques. We value innovation and encourage team members to adapt and implement the latest modeling techniques, ensuring that our data solutions remain state-of-the-art.

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Common Interview Questions for Data Scientist III (Machine Learning)
Can you explain your experience with supervised and unsupervised learning models?

In responding to this question, it's important to provide specific examples of projects where you employed either supervised or unsupervised models. Discuss the business problems you solved, the datasets you used, and the outcomes. This shows your practical experience and understanding of the models' applications.

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What techniques do you use for feature engineering?

In your answer, outline the various techniques you utilize for feature engineering, such as normalization, encoding categorical variables, or dealing with missing values. Providing a case where you successfully improved model performance through feature engineering will show your depth of knowledge.

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Describe a challenging data problem you faced and how you approached it.

Choose a specific example where you encountered a complex data challenge. Discuss your analytical process, the tools and techniques you employed, and the successful outcome. This showcases your problem-solving skills and ability to navigate difficult situations.

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How do you ensure the quality and integrity of the data you work with?

Discuss your methods for data validation and quality assurance. Provide examples of when you identified and corrected data integrity issues, emphasizing your attention to detail and commitment to high standards.

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What are your go-to machine learning frameworks and why?

Share your familiarity with different ML frameworks like TensorFlow, PyTorch, or Scikit-Learn. Explain your reasons for preference, such as ease of use, flexibility, or performance metrics, based on your past experiences with each.

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Can you give an example of how you’ve used big data technologies?

Here, provide examples of specific big data technologies such as Spark or Hadoop you've employed. Discuss how you used them to process and analyze large datasets, sharing the impact on your project outcomes.

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How do you approach collaborating with non-technical stakeholders?

Emphasize your communication skills by discussing how you translate complex data concepts for non-technical audiences. Examples of collaborative projects where you successfully communicated your findings will strengthen your response.

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What role does continuous learning play in your career as a Data Scientist?

Reflect on how you stay updated with the latest trends and technologies in data science, including attending conferences, taking online courses, or reading industry-related articles. This showcases your commitment to growth and adaptation in a fast-paced field.

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How do you prioritize tasks when working on multiple projects?

Explain your time management strategies, such as creating prioritization matrices or using project management tools. Illustrate with an example where you successfully juggled several tasks without compromising quality.

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Why do you want to work for Belcan as a Data Scientist III?

Customize your answer by discussing your admiration for Belcan’s commitment to innovation and teamwork. Highlight how the company’s values align with your professional goals and how you see yourself contributing to their success.

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Belcan, LLC is a global supplier of engineering, supply chain, technical recruiting, and IT services to customers in the aerospace, defense, automotive, industrial, and government sectors. Belcan engineers better outcomes for customers – from jet ...

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December 5, 2024

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